
Caching Strategies Every Backend Developer Must Know
A practical, code-first guide to cache-aside, read-through, write-through, write-behind, and refresh-ahead patterns — with Redis examples, e...

A practical, code-first guide to cache-aside, read-through, write-through, write-behind, and refresh-ahead patterns — with Redis examples, e...

Master high-throughput event-driven microservices architecture using Java 21, Spring Boot 3.4+, Apache Kafka, Redis distributed locking and ...

We added Redis to fix a slow endpoint and watched response times drop. Then came stale data, invalidation problems, traffic spikes, and data...

IP-based throttling and account-based lockout solve different problems and neither substitutes for the other. Built and tested in NestJS: th...

A from-scratch background job pipeline in NestJS using BullMQ and Redis, demonstrated on an async LLM draft-generation endpoint — covering r...

Most JWT implementations have at least one critical security flaw. Algorithm confusion, token theft via XSS, missing expiry validation, impr...

A cache hit rate below 50% means your caching strategy is broken, not your hardware. Here's the production Redis playbook — patterns, invali...

